[PDF/ePUB] Statistical Modeling and Inference for Social Science

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This book provides an introduction to probability theory, statistical inference, and statistical modeling for social science researchers and Ph.D. students. Focusing on the connection between statistical procedures and social science theory, Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables – the primary aim of social scientists. Gailmard explains how social scientists express and test substantive theoretical arguments in various models. Chapter exercises require application of concepts to actual data and extend students' grasp of core theoretical concepts. Students will complete the book with the ability to read and critique statistical applications in their fields of interest.

✔ Author(s):
✔ Title: Statistical Modeling and Inference for Social Science (Analytical Methods for Social Research)
✔ Rating : 4.4 out of 5 base on (15 reviews)
✔ ISBN-10: 1316622223
✔ ISBN-13: 9781316622223
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle

Readers' opinions about Statistical Modeling and Inference for Social Science by Sean Gailmard

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Elaine Leonard
The plot was incredibly well-crafted, with twists and turns that kept me hooked until the very last page. It was impossible to predict what would happen next.
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Daphne Garner
The way this book explored the complexities of human nature and relationships was both profound and relatable. It touched my heart in ways I didn't expect.
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Violet Tyler
The plot was so well-paced that I lost track of time while reading. I was completely immersed in the story, eagerly turning the pages to uncover the next twist.


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